Similar to proof " Sigmoid/Tanh/Arctan Linear Bounds" , when \(m=\frac{u+l}{2}\) , the linear bounds of theorem 3.1 is Neuron-wise Tightest according to theorem REF  and theorem 3.2. Although the Neuron-wise Tightest technique [1]} can compute a larger robustness bounds than other state-of-the-art works and stands for the highest precision among related work, experimental results have shown that Ti-Lin is better than the Neuron-wise Tightest linear bounds of Sigmoid/Tanh/Arctan function.
